code: def __init__(self, backbone):
      super().__init__()
      self.backbone = backbone
      self.projection_head = BarlowTwinsProjectionHead(512, 2048, 2048)
      self.local_projection_head = VicRegLLocalProjectionHead(
          512, 128, 128
      )
      self.average_pool = nn.AdaptiveAvgPool2d(output_size=(1, 1))
  
file_path: lightly/examples/pytorch/vicregl.py
imports: import torch
  import torchvision
  from torch import nn
  from lightly.loss import VICRegLLoss
  from lightly.models.modules import BarlowTwinsProjectionHead
  from lightly.models.modules.heads import VicRegLLocalProjectionHead
  from lightly.transforms.vicregl_transform import VICRegLTransform
label_desc: Use image node_id 1 to create a new VICRegL object from inherited base classes: nn with example: obj = VICRegL(backbone)